It is best to consider a long-term outlook for a ticker by using Fundamental Analysis (FA) ratings. The rating of 1 to 100, where 1 is best and 100 is worst, is divided into thirds. The first third (a green rating of 1-33) indicates that the ticker is undervalued; the second third (a grey number between 34 and 66) means that the ticker is valued fairly; and the last third (red number of 67 to 100) reflects that the ticker is undervalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
AZASF’s FA Score shows that 0 FA rating(s) are green whileRMGGF’s FA Score has 1 green FA rating(s).
It is best to consider a short-term outlook for a ticker by using Technical Analysis (TA) indicators. We use Odds of Success as the percentage of outcomes which confirm successful trade signals in the past.
If the Odds of Success (the likelihood of the continuation of a trend) for each indicator are greater than 50%, then the generated signal is confirmed. A green percentage from 90% to 51% indicates that the ticker is in a bullish trend. A red percentage from 90% - 51% indicates that the ticker is in a bearish trend. All grey percentages are below 50% and are considered not to confirm the trend signal.
AZASF’s TA Score shows that 5 TA indicator(s) are bullish while RMGGF’s TA Score has 5 bullish TA indicator(s).
AZASF (@Precious Metals) experienced а +9.71% price change this week, while RMGGF (@Precious Metals) price change was -4.71% for the same time period.
The average weekly price growth across all stocks in the @Precious Metals industry was -5.24%. For the same industry, the average monthly price growth was -2.88%, and the average quarterly price growth was +3.01%.
The Precious Metals industry is engaged in exploring/mining metals that are considered to be rare and/or have a high economic value. Popular precious metals include gold, platinum and silver - all three of which are largely used in jewelry, art and coinage alongwith having some industrial uses as well. Precious metals used in industrial processes include iridium, (used in specialty alloys), and palladium ( used in electronics and chemical applications). Historically, precious metals have traded at much higher prices than common industrial metals. Newmont Goldcorp Corp, Barrick Gold Corp and Freeport-McMoRan are few of the major precious metals producing companies in the U.S.
AZASF | RMGGF | AZASF / RMGGF | |
Capitalization | 22.1M | 518M | 4% |
EBITDA | -1.48M | -112.27M | 1% |
Gain YTD | -0.672 | -21.625 | 3% |
P/E Ratio | N/A | N/A | - |
Revenue | 0 | 606M | - |
Total Cash | 135K | 71M | 0% |
Total Debt | 100K | 276M | 0% |
AZASF | RMGGF | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 16 | 86 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 61 Fair valued | 80 Overvalued | |
PROFIT vs RISK RATING 1..100 | 42 | 100 | |
SMR RATING 1..100 | 97 | 88 | |
PRICE GROWTH RATING 1..100 | 51 | 60 | |
P/E GROWTH RATING 1..100 | 100 | 3 | |
SEASONALITY SCORE 1..100 | 32 | 75 |
Tickeron ratings are formulated such that a rating of 1 designates the most successful stocks in a given industry, while a rating of 100 points to the least successful stocks for that industry.
AZASF's Valuation (61) in the null industry is in the same range as RMGGF (80). This means that AZASF’s stock grew similarly to RMGGF’s over the last 12 months.
AZASF's Profit vs Risk Rating (42) in the null industry is somewhat better than the same rating for RMGGF (100). This means that AZASF’s stock grew somewhat faster than RMGGF’s over the last 12 months.
RMGGF's SMR Rating (88) in the null industry is in the same range as AZASF (97). This means that RMGGF’s stock grew similarly to AZASF’s over the last 12 months.
AZASF's Price Growth Rating (51) in the null industry is in the same range as RMGGF (60). This means that AZASF’s stock grew similarly to RMGGF’s over the last 12 months.
RMGGF's P/E Growth Rating (3) in the null industry is significantly better than the same rating for AZASF (100). This means that RMGGF’s stock grew significantly faster than AZASF’s over the last 12 months.
AZASF | RMGGF | |
---|---|---|
RSI ODDS (%) | N/A | 2 days ago85% |
Stochastic ODDS (%) | 2 days ago79% | 2 days ago79% |
Momentum ODDS (%) | 2 days ago77% | 2 days ago73% |
MACD ODDS (%) | 2 days ago77% | 2 days ago73% |
TrendWeek ODDS (%) | 2 days ago80% | 2 days ago75% |
TrendMonth ODDS (%) | 2 days ago81% | 2 days ago77% |
Advances ODDS (%) | 2 days ago83% | 17 days ago67% |
Declines ODDS (%) | 15 days ago76% | 13 days ago80% |
BollingerBands ODDS (%) | 2 days ago79% | 2 days ago80% |
Aroon ODDS (%) | 2 days ago82% | 2 days ago80% |
A.I.dvisor tells us that AZASF and SAND have been poorly correlated (+32% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that AZASF and SAND's prices will move in lockstep.
Ticker / NAME | Correlation To AZASF | 1D Price Change % | ||
---|---|---|---|---|
AZASF | 100% | +7.36% | ||
SAND - AZASF | 32% Poorly correlated | +0.18% | ||
HL - AZASF | 31% Poorly correlated | +0.57% | ||
SSRM - AZASF | 30% Poorly correlated | -2.16% | ||
NEM - AZASF | 29% Poorly correlated | -0.70% | ||
EGO - AZASF | 29% Poorly correlated | -0.19% | ||
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A.I.dvisor tells us that RMGGF and CYPMF have been poorly correlated (+21% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that RMGGF and CYPMF's prices will move in lockstep.
Ticker / NAME | Correlation To RMGGF | 1D Price Change % | ||
---|---|---|---|---|
RMGGF | 100% | +9.13% | ||
CYPMF - RMGGF | 21% Poorly correlated | N/A | ||
AZASF - RMGGF | 21% Poorly correlated | +0.85% | ||
SROYF - RMGGF | 21% Poorly correlated | -14.20% | ||
RMETF - RMGGF | 4% Poorly correlated | -1.41% | ||
RMRDF - RMGGF | 2% Poorly correlated | -6.35% | ||
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